AI Fakes Are Poisoning the One Corner of the Internet People Trusted Most: Animals

Key points

• A Los Angeles woman, Mibbby Butler, was sent at least one AI-generated fake photo of her missing cat Brooklyn in April 2025, part of an ongoing scam.
• Wired confirmed ChatGPT can recreate a convincing fake "found pet" photo using a 29-word prompt and a single image from a missing poster.
• The nonprofit We Animals, which has published work from 175 photojournalists documenting farm and lab conditions, now faces audience accusations that its real footage is AI-generated.
• California and the EU have both passed laws requiring widely used AI image generators to embed invisible tags in synthetic content so platforms can label it.
• New York University researcher Jeff Sebo is pushing AI developers to add guidelines discouraging their models from producing content that could harm animals.

Scrolling past a cute or heartbreaking animal video used to feel safe. For a growing number of people, it no longer does.

The explosion of AI-generated imagery has turned animal content into one of the most polluted corners of social media. The damage is landing on real people, real organisations and real animals.

What happened to Mibbby Butler and her cat Brooklyn?

Butler's cat Brooklyn went missing in Los Angeles in April 2025. A stranger quickly sent her a photo claiming to have found him, and it looked convincing at first glance.

The image mirrored her missing poster: same cat pose, same Torani syrup bottle in the background, same microwave. One detail gave it away. The label text on the bottle was garbled, a classic sign that an AI tool assembled the image rather than a camera capturing it. Butler refused to pay the "temporary care" fee the stranger demanded. Four months later, Brooklyn is still missing.

This wasn't a one-off. Butler told Wired she receives a fresh deepfake, a fake photo generated by AI software, roughly once a month from different accounts claiming to have found her cat. Wired's own testing confirmed ChatGPT generated at least one of those images. With just 29 words and the original missing-poster photo, the publication recreated a near-identical fake in minutes.

Why does this hurt organisations trying to protect real animals?

Real evidence of animal suffering is now routinely dismissed as fake, even when it isn't.

We Animals, a nonprofit that has published photojournalism from 175 photographers documenting conditions at farms, circuses and scientific labs, has begun fielding accusations that its footage is AI-generated. A recent drone video showing rows of individual calf hutches on an Arizona dairy farm drew an Instagram comment this month asking simply: "How to prove it's not AI?"

The group bans its photographers from using AI tools entirely. Even so, it now plans to publish behind-the-scenes clips and adopt content-provenance technology, software that embeds the recording and editing history directly into a digital file, so viewers can verify what they're looking at. Victoria de Martigny, the group's director of visual content, said losing that trust could "open up the door to people questioning all of the work."

AI2Day has tracked the content-provenance space across four stories since 11 August 2026, and what's striking here is that conservation groups are being pushed toward enterprise-grade verification tools by scammers and bad-faith commenters, not by any choice of their own.

Fundraising is also at risk. Real, emotionally resonant animal footage is a primary tool for conservation and welfare organisations. Synthetic imagery is cheap to mass-produce, and it's crowding out authentic material in social feeds and search results.

Platform signal	What it means for viewers
Garbled text on labels or signs	Strong indicator of AI generation
EU / California invisible tags	Platforms must display an AI label
ChatGPT / Gemini image check	Can confirm if that tool made the image
Content-provenance file data	Records camera, location and edit history

What can ordinary people actually do right now?

Verification tools exist, but they're patchy. ChatGPT, Gemini and Meta AI can each check whether an image was made by their own systems, though none can catch fakes produced by a rival tool, and all impose caps on how many images a user can check per day.

The fastest practical step is simple: if a "found pet" photo arrives with a payment demand, look for garbled text on any labels or packaging. That's the single quickest tell. Report the account to the platform. Butler didn't report her scammer to police because she was unsure a crime had occurred, which lets the scam run on other victims.

For conservation content, provenance-tagged files will help once the technology becomes standard.

Jeff Sebo, director of the Center for Mind, Ethics and Policy at New York University, is asking AI developers directly to build guidelines into their models discouraging the generation of misleading animal content. The goal, he says, is keeping AI responses "grounded in evidence and reason" without making the tools refuse every reasonable request.

Legislation is moving too. California and the EU have both passed laws requiring the most widely used AI image generators to embed invisible markers in synthetic content. Social media platforms are then required to read those markers and display a visible label.

None of that helps Butler today. She spends more time now in a Facebook group of nearly 300,000 members who share only human-made art. It has become, she says, a reliable refuge while she waits for Brooklyn to come home.

What matters most here isn't the scams, bad as they are. It's that organisations doing legitimate, costly fieldwork are now carrying the burden of proving a negative, and the tools to help them do that are still years from being routine.

Common questions

How can I tell if an animal photo is AI-generated?

Look at any text visible in the image, such as labels or packaging. AI image tools frequently produce garbled or nonsense letters even when the rest of the picture looks polished. You can also upload a suspicious image to ChatGPT or Google Gemini, which can confirm whether their own system generated it, though neither can detect fakes made by a different AI.

Is it illegal to use AI to scam someone over a lost pet?

That depends on jurisdiction and how the scam is structured. Butler chose not to report her case because she was unsure a crime had occurred. If someone demands money using a fake photo, that can meet the legal threshold for fraud in many places. Reporting to local police and to the platform where the contact originated is the clearest first step.